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Record W4281946593 · doi:10.1186/s12905-022-01804-z

Young mothers’ use of and experiences with mental health care services in Ontario, Canada: a qualitative descriptive study

2022· article· en· W4281946593 on OpenAlexafffundabout
Susan M. Jack, Eric Duku, Heather Whitty, Ryan J. Van Lieshout, Alison Niccols, Katholiki Georgiades, Ellen L. Lipman

Bibliographic record

VenueBMC Women s Health · 2022
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsHamilton Health SciencesMcMaster University
FundersHamilton Health Sciences
KeywordsMental healthThematic analysisMedicineDescriptive statisticsQualitative researchData collectionGrounded theoryReproductive medicineReflexivityNursingPsychiatryPsychologyPregnancy

Abstract

fetched live from OpenAlex

BACKGROUND: Despite the high prevalence of mental health issues among young mothers, their subsequent needs for mental health care support does not correlate with their access and use of services. The purpose of this study, grounded in the experiences of young mothers living in Ontario, Canada, was to describe their experiences of using mental health services during the perinatal period, and to identify the attributes of services and professionals that influenced their decision to engage with mental health services. METHODS: As the qualitative component of a sequential explanatory mixed methods study, the principles of qualitative description informed sampling, data collection, and analysis decisions. In-depth, semi-structured interviews were conducted with a purposeful sample of 29 young mothers (≤ 21 years) who met diagnostic criteria for at least one psychiatric disorder, and who were ≥ 2 months postpartum. Interview data were triangulated with data from ecomaps and a sub-set of demographic data for this purposeful sample from the survey conducted in the quantitative study component. Qualitative data were analyzed using both conventional content analysis and reflexive thematic analysis; the subset of survey data extracted for these 29 participants were analyzed using descriptive statistics. RESULTS: Young mothers identified the need to have at least one individual, either an informal social support or formal service provider who they could talk to about their mental health. Among participants deciding to seek professional mental health support, their hesitancy to access services was grounded in past negative experiences or fears of being judged, being medicated, not being seen as an active partner in care decisions or experiencing increased child protection involvement. Participants identified organizational and provider attributes of those delivering mental health care that they perceived influenced their use of or engagement with services. CONCLUSION: Organizations or health/social care professionals providing mental health services to young pregnant or parenting mothers are recommended to implement trauma-and violence-informed care. This approach prioritizes the emotional and physical safety of individuals within the care environment. Applying this lens in service delivery also aligns with the needs of young mothers, including that they are actively listened to, treated with respect, and genuinely engaged as active partners in making decisions about their care and treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.507

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0120.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.325
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2022
Admission routes3
Has abstractyes

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